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Is Microsoft losing the AI race? Copilot (web) is still stuck at 1% market share. We don’t know how popular it is on Windows 11

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Microsoft may be losing the AI race already, unless the company has a secret in-house AI model up its sleeve to surprise the crowd. Windows Latest has observed that Copilot’s market share on the web is still over just one percent, while ChatGPT is at 64.5% and Gemini has bumped to 21%. Even Perplexity is doing better than Copilot with 2% share.

This data is based on the numbers shared by SimilarWeb, which is a digital data company that tracks ‘hits’ coming to websites. Since data only covers visits to websites, such as copilot.microsoft.com or chatgpt.com, we can’t tell how popular Copilot is on the desktop or mobile apps. However, I will not keep my expectations high.

Copilot’s market share on the web is just 1.1%

If you look at the last twelve-month market share in the AI space, Copilot went from 1.5% in January 2025 to just over 1.1% in January 2026. While Copilot was growing a little every month, it suddenly lost more users recently, and mathematically, this means Copilot has stayed flat in the last six months.

Copilot and other AI market share as of January 2026
Snapshot ChatGPT Gemini DeepSeek Grok Perplexity Claude Copilot
12 Months Ago 86.7% 5.7% 1.9% 1.5% 1.5%
6 Months Ago 78.6% 8.6% 4.8% 2.1% 1.6% 1.5% 1.1%
3 Months Ago 74.1% 12.9% 3.7% 2.0% 2.4% 2.0% 1.2%
1 Month Ago 68.0% 18.2% 3.9% 2.9% 2.1% 2.0% 1.2%
Today (Jan 2) 64.5% 21.5% 3.7% 3.4% 2.0% 2.0% 1.1%

So even while ChatGPT dropped (86.7% to 64.5%) and Gemini exploded (5.7% to  21.5%), Copilot didn’t meaningfully pick up the share that’s up for grabs.

Thanks to SimilarWeb, Windows Latest also obtained a detailed breakdown of how Copilot was growing on the web. As I mentioned, Copilot growth was positive for months and even hit a peak of +19% in the last week of September, but Windows Latest observed that it stayed low to mid-teens through November.

Fast forward to December 2025, Copilot usage dropped by 19%, while other tools were as popular as before. Copilot’s traffic is now lower than it was 12 weeks earlier.

Copilot had months of positive growth, but its market share still didn’t climb. That usually means one of two things. Either the whole category grew faster than Copilot, or Copilot’s gains were too small to matter because the base is tiny. Second, on January 2, 2026, Copilot is in the red camp with OpenAI (-22%), Perplexity (-27%), Claude (-14%), and DeepSeek (-11%), while Gemini (+49%) and Grok (+52%) are surging.

Copilot growth over 12 weeks change
12wk Change 8/1 8/15 8/29 9/12 9/26 10/10 10/24 11/7 11/21 12/5 12/19 1/2
Openai 4% 5% 4% 3% 5% 5% 3% -2% 1% -4% -8% -22%
Gemini 51% 39% 20% 32% 78% 64% 69% 71% 84% 82% 44% 49%
Deepseek -27% -28% -22% -17% -8% -8% 12% 15% 12% 5% -2% -11%
Grok 9% 7% 14% 16% 6% -13% 5% 13% 28% 43% 49% 52%
Perplexity 26% 14% 17% 20% 37% 66% 39% 39% 32% 17% 7% -27%
Claude 33% 46% 42% 34% 35% 47% 56% 49% 16% 12% 12% -14%
Copilot 6% 0% 11% 12% 19% 15% 13% 12% 16% 7% 0% -19%
Meta -22% -21% -21% -21% -15% 102% 82% 73% 79% 109% 98% -3%
Huggingface 3% 12% 3% -6% -4% -14% -12% -18% -10% 4% -1% 8%
Manus 25% 2% -11% -19% -14% -23% -17% -16% -2% -1% 1% 12%

In the last month, Grok went from 2.9% to 3.4%, while Copilot went from 1.2% to 1.1% (down 0.1 points). In one month, Grok added almost half of Copilot’s entire share. That’s neat.

We can’t tell how popular Copilot is on Windows 11

We cannot figure out how popular Copilot is on Windows 11 since Microsoft does not publish data. Moreover, you can’t even use the Microsoft Store to guess the numbers because the Store does not have ‘downloads’ or ‘install’ counts. Play Store discloses the download count, but Microsoft Store skips it.

Still, I compared Copilot’s Microsoft Store reviews count with those of ChatGPT, but sadly, my analysis does not really tell us the real story.

Microsoft Store reviews count for GPT and Copilot

While ChatGPT has over 2,000 reviews in the Store, Copilot has more than 75,000. Does that mean more people use the Copilot Windows app than ChatGPT’s Windows app? I don’t think so.

First and foremost, Copilot might have more reviews because it’s installed by default on Windows. On the other hand, you need to manually install ChatGPT. Moreover, I’ve observed that OpenAI does not frequently nudge you to download the Windows 11 app, and it also arrived in the Microsoft Store much later than Copilot.

When you consider these factors, it becomes almost impossible to “guess” how popular Copilot is on Windows 11.

Microsoft’s silence makes it obvious that Copilot is not popular

Copilot is clearly not used by a lot of consumers. If Copilot were popular on Windows 11, Microsoft would have bragged about it.

You might have noticed how Microsoft never misses out on opportunities to highlight one billion active devices running Windows. Would it really not do it for Copilot if it were actually popular? I doubt.

Copilot is also integrated into Microsoft Edge, which has over 10% market share, but we can’t tell how many people use Copilot inside Edge’s sidebar.

Over to you: Do you use Copilot? If yes, how do you use Copilot? Web, Windows, or Android/iOS apps?

The post Is Microsoft losing the AI race? Copilot (web) is still stuck at 1% market share. We don’t know how popular it is on Windows 11 appeared first on Windows Latest

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Why AI is pushing developers toward typed languages

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It’s a tale as old as time: tabs vs. spaces, dark mode vs. light mode, typed languages vs. untyped languages. It all depends!

But as developers use AI tools, not only are they choosing the more popular (thus more trained into the model) libraries and languages, they are also using tools that reduce risk. When code comes not just from developers, but also from their AI tools, reliability becomes a much bigger part of the equation. 

Typed vs. untyped

Dynamic languages like Python and JavaScript make it easy to move quickly when building, and developers who argue for those languages push for the speed and flexibility they provide. But that agility lacks the safety net you get with typed languages.

Untyped code is not gone, and can still be great. I love, personally, that I can just write code and not define every aspect of something on my average side project. But, when you don’t control every line of code, subtle errors can pass, unchecked. That’s when the types-driven safety net concept becomes a lot more appealing, and even necessary. AI just increases the volume of “code you didn’t personally write,” which raises the stakes. 

Type systems fill a unique role of surfacing ambiguous logic and mismatches of expected inputs and outputs. They ensure that code from any source can conform to project standards. They’ve basically become a shared contract between developers, frameworks, and AI tools that are generating more and more scaffolding and boilerplate for developers. 

With AI tools and agents producing larger volumes of code and features than ever, it only makes sense that reliability is more critical. And… that is where typed languages win the debate. Not because untyped languages are “bad,” but because types catch the exact class of surprises that AI-generated code can sometimes introduce.

Is type safety that big of a deal?

Yes!

Next question.

But actually though, a 2025 academic study found that a whopping 94% of LLM-generated compilation errors were type-check failures. Imagine how much your projects would improve if 94% of your failures went away! Your life would be better. Your skin would clear. You’d get taller. Or at least you’d have fewer “why does this return a string now?” debugging sessions.

What Octoverse 2025 says about the rise of typed languages

Octoverse 2025 confirmed it: TypeScript is now the most used language on GitHub, overtaking both Python and JavaScript as of August 2025. TypeScript grew by over 1 million contributors in 2025 (+66% YoY, Aug ‘25 vs. Aug ‘24) with an estimated 2.6 million developers total. This was driven, in part, by frameworks that scaffold projects in TypeScript by default (like Astro, Next.js, and Angular). But the report also found correlative evidence that TypeScript’s rise got a boost from AI-assisted development.

That means AI is influencing not only how fast code is written, but which languages and tools developers use. And typed ecosystems are benefiting too, because they help AI slot new code into existing projects without breaking assumptions. 

It’s not just TypeScript. Other typed languages are growing fast, too! 

Luau, Roblox’s scripting language, saw >194% YoY growth as a gradually typed language. Typst, often compared to LaTeX, but with functional design and strong typing, saw >108% YoY growth. Even older languages like Java, C++, and C# saw more growth than ever in this year’s report.

That means gradual typing, optional typing, and strong typing are all seeing momentum—and each offers different levels of guardrails depending on what you’re building and how much you want AI to automate.  

Where do we go from here?

Type systems don’t replace dynamic languages. But, they have become a common safety feature for developers working with and alongside AI coding tools for a reason. As we see AI-assisted development and agent development increase in popularity, we can expect type systems to become even more central to how we build and ship reliable software.

Static types help ensure that code is more trustworthy and more maintainable. They give developers a shared, predictable structure. That reduction in surprises means you can be in the flow (pun intended!) more.

Looking to stay one step ahead? Read the latest Octoverse report and try Copilot CLI.

The post Why AI is pushing developers toward typed languages appeared first on The GitHub Blog.

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Why Are Grok and X Still Available in App Stores?

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Elon Musk’s chatbot has been used to generate thousands of sexualized images of adults and apparent minors. Apple and Google have removed other “nudify” apps—but continue to host X and Grok.
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Why Everyone Is Obsessed with Claude Code

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From: AIDailyBrief
Duration: 25:25
Views: 699

Claude Code and Opus 4.5 sparked a leap in AI coding, enabling autonomous agents to build complex apps without traditional code. Predicted impacts include a post‑UI world with agent‑first products, enterprise workflow transformation, and new management skills for orchestrating AI agents. Opportunities range from rapid indie app creation and personal software to major economic shifts and job redefinition driven by automation.

Brought to you by:
KPMG – Go to ⁠www.kpmg.us/ai⁠ to learn more about how KPMG can help you drive value with our AI solutions.
Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw

The AI Daily Brief helps you understand the most important news and discussions in AI.
Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614
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Join our Discord: https://bit.ly/aibreakdown

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What Microsoft's Recent M365 Bundling Moves Mean for You

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Microsoft is bundling more separately priced features with Microsoft 365 SKUs, making the imminent inevitability of an E7 less likely. Directions analyst Wes Miller talks through the details and customer impact with Mary Jo Foley.



Download audio: https://www.directionsonmicrosoft.com/index.php?pda_v3_pf=/_pda/2026/01/season5ep1miller.mp3
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Ultrahuman launches features 15% faster with Gemini in Android Studio

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Posted by Amrit Sanjeev, Developer Relations Engineer and Trevor Johns, Developer Relations Engineer




Ultrahuman is a consumer health-tech startup that provides daily well-being insights to users based on biometric data from the company’s wearables, like the RING Air and the M1 Live Continuous Glucose Monitor (CGM). The Ultrahuman team leaned on Gemini in Android Studio's contextually aware tools to streamline and accelerate their development process.


Ultrahuman’s app is maintained by a lean team of just eight developers. They prioritize building features that their users love, and have a backlog of bugs and needed performance improvements that take a lot of time. The team needed to scale up their output of feature improvements, and also needed to handle their performance improvements, without increasing headcount. One of their biggest opportunities was reducing the amount of time and effort for their backlog: every hour saved on maintenance could be reinvested into working on features for their users.





Solving technical hurdles and boosting performance with Gemini


The team integrated Gemini in Android Studio to see if the AI enhanced tools could improve their workflow by handling many Android tasks. First, the team turned to the Gemini chat inside Android Studio. The goal was to prototype a GATT Server implementation for their application’s Bluetooth Low Energy (BLE) connectivity. 





As Ultrahuman’s Android Development Lead, Arka, noted, “Gemini helped us reach a working prototype in under an hour—something that would have otherwise taken us several hours.” The BLE implementation provided by Gemini worked perfectly for syncing large amounts of health sensor data while the app ran in the background, improving the data syncing process and saving battery life on both the user's Android phone and Ultrahuman's paired wearable device.


Beyond this core challenge, Gemini also proved invaluable for finding algorithmic optimizations in a custom open-source library, pointing to helpful documentation, assisting with code commenting, and analyzing crash logs. The Ultrahuman team also used code completion to help them breeze through writing otherwise repetitive code, Jetpack Compose Preview Generation to enable rapid iteration during UI design, and Agent Mode for managing complex, project-wide changes, such as rendering a new stacked bar graph that mapped to backend data models and UI models.





Transforming productivity and accelerating feature delivery 


These improvements have saved the team dozens of hours each week. This reclaimed time is being used to deliver new features to Ultrahuman’s beta users 10-15% faster. For example, the team built a new in-app AI assistant for users, powered by Gemini 2.5 Flash. The UI design, architecture, and parts of the user experience for this new feature were initially suggested by Gemini in Android Studio—showcasing a full-circle AI-assisted development process. 


Accelerate your Android development with Gemini


Gemini's expert Android advice, closely integrated throughout Android Studio, helps Android developers spend less time digging through documentation and writing boilerplate code—freeing up more time to innovate.


Learn how Gemini in Android Studio can help your team resolve complex issues, streamline workflows, and ship new features faster.
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